
Architecting Trusted Agents: Turning Knowledge Graphs into Secure Policy Engines
In this session, you’ll learn how to turn your own graph into a policy engine that your agents can actually trust.
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Join us on November 12 for a virtual conference dedicated to Engineering Better Intelligence. We'll explore modern applications, multi-agent workflows, and context-rich systems.
Learn how a knowledge layer gives enterprise AI the context, memory, and reasoning it needs to go from pilot to production.

In this session, you’ll learn how to turn your own graph into a policy engine that your agents can actually trust.

Meet Neo4j at the Databricks Data + AI World Tour 2026 Neo4j is hitting the road with Databricks! Join us at select Data + AI World Tour stops to discover how Neo4j and Databricks help organizations connect enterprise data and...

Meet Neo4j at the Databricks Data + AI World Tour 2026 Neo4j is hitting the road with Databricks! Join us at select Data + AI World Tour stops to discover how Neo4j and Databricks help organizations connect enterprise data and...

Join fraud, risk, and data leaders for an exclusive GraphTalk Financial Services event on September 16, 2026 at Hotel At 6, Stockholm, to learn how leading institutions are transforming fraud detection with a graph-first approach. Discover how forward-thinking banks and...

Worum es geht Finanzrelevante Daten aus Zoll, Polizei, Finanzverwaltung und Registern liegen in unterschiedlichen Systemen und Formaten vor. Abweichende Namen, Adressen oder Kennungen erschweren es, Personen, Unternehmen und Beteiligungsstrukturen zuverlässig zusammenzuführen – mehr Datenzugriff allein löst das nicht. In diesem...

We share the latest insights about: AI dev tools, Agent frameworks, RAG, vibe coding, OpenClaw, Claude Code and more!

The event brings together the developers, researchers, platform builders, and enterprises advancing the next generation of AI agents—from core agent architectures and infrastructure to the protocols and tools that make agent systems interoperable.

Join us in New York to learn how a knowledge layer gives enterprise AI the context, memory, and reasoning it needs to move from pilot to trustworthy production.

AI engineering is moving beyond individual models toward full-stack systems that bring together models, inference, data, and infrastructure. Join Mistral, Neo4j, Daytona, and SGLang for an evening of practical conversations about what it takes to build and run modern AI...